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Relationship between joint roughness coefficient and fractal dimension of rock fracture surfaces
Numerous empirical equations have been proposed to estimate the joint roughness coefficient (JRC) of a rock fracture based on its fractal dimension (D). A detailed review is made on these various methods, along with a discussion about their usability and
Yanrong Li, Runqiu Huang
exaly +2 more sources
Some of the next articles are maybe not open access.
Quantitative characterization of joint roughness based on semivariogram parameters
International Journal of Rock Mechanics and Minings Sciences, 2018Zhao Lianheng +2 more
exaly
Evaluation of the Joint Roughness Coefficient using the Digital Image Correlation Method
Civil-Comp Proceedings, 2009S.H. Tung, M.H. Shih, J.C. Kuo
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Estimation of Joint Roughness Coefficient from Three-Dimensional Discontinuity Surface
Rock Mechanics and Rock Engineering, 2017Guangcheng Zhang +4 more
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A new method estimating the 2D Joint Roughness Coefficient for discontinuity surfaces in rock masses
International Journal of Rock Mechanics and Minings Sciences, 2014Guangcheng Zhang +2 more
exaly
Predicting Joint Roughness Coefficient of Rock Joints Using a Hybrid SSA-MLP Model
Journal of Materials Engineering and PerformanceDongliang He, Yanhui Cheng, Guoxian Wang
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Bulletin of Engineering Geology and the Environment
Renyi Chen, Yonggao Yin, Min He
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Renyi Chen, Yonggao Yin, Min He
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Data-driven estimation of joint roughness coefficient
Joint roughness is one of the most important issues in the hydromechanical behavior of rock mass. Therefore, the joint roughness coefficient (JRC) estimation is of paramount importance in geomechanics engineering applications.
Hadi Fathipour-Azar
doaj +5 more sources

